As a Senior Data Engineer, you will be responsible for designing and implementing efficient data capture systems from source data, integrating it into core datasets.
You will work closely with product, marketing, and audience teams to translate business understanding and ideas into ETL architecture and analytics.
* Develop ETL pipelines to transform raw data into defined, reusable data products for data-savvy end users.
* Lead the integration of new and existing data sources into Big Query and Azure.
* Work with various APIs to bring clean, timely data into our core platforms.
* Collaborate with engineers, product managers, and data scientists to understand data needs and visually represent key data insights meaningfully.
* Be an agile, dynamic team member with excellent communication and interpersonal skills.
* Design and lead large-scale data migration projects.
* Work with stakeholders to gather business requirements and assist in creating effective data flow plans.
The ideal candidate should have 5+ years of experience in a data team, skilled in SQL & Python, data storage patterns & schemas, web analytics, and great stakeholder management.
Excellent presentation and communication skills are required. Knowledge of Google cloud platform, Google Analytics, Big Query, Data Studio would be beneficial.
This is a permanent role requiring full working rights.